CN107203952B - Campus card system self-service method based on fine-grained service segmentation - Google Patents

Campus card system self-service method based on fine-grained service segmentation Download PDF

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CN107203952B
CN107203952B CN201710390330.XA CN201710390330A CN107203952B CN 107203952 B CN107203952 B CN 107203952B CN 201710390330 A CN201710390330 A CN 201710390330A CN 107203952 B CN107203952 B CN 107203952B
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于磊磊
黄玉
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Shandong University
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention provides a campus card system self-service method based on fine-grained service segmentation, and provides a minimum-cost self-service equipment composite algorithm and a minimum-cost self-service equipment composite algorithm considering artificial substitution degree based on correlation among traffic, terminal quantity and service experience. The algorithm can effectively guarantee the service experience of the user and minimize the overall cost of the self-service system construction. The method comprises the steps of achieving fine-grained business segmentation through the construction of a minimum independent business set, constructing a self-service model, establishing data association among business volume, total cost and service experience, and optimizing the economic cost of self-service system construction under the condition that a service experience target and a manual substitution degree target are achieved.

Description

Campus card system self-service method based on fine-grained service segmentation
Technical Field
The invention relates to the field of campus cards, in particular to a campus card system self-service method based on fine-grained service segmentation.
Background
As an important component of the smart campus, the campus card system has extended the service antenna to various aspects of campus life in colleges and universities, and mobile internet services featuring on-line payment are becoming more and more popular in addition to traditional services such as dining, bathing, shopping, book borrowing, on-machine, entrance guard, and riding. The campus card system becomes an indispensable part of the life of teachers and students in colleges and universities, and provides efficient and convenient information services for the teachers and students in colleges and universities. Similar to banking, manual handling of campus card transactions (such as charging, card handling, unlinking, etc.) has a significant weight in campus card service management, which is especially a problem in colleges and universities that are handled in multiple school districts. In recent years, with the deep revolution of college management systems, the manual business position of campus cards of colleges and universities is more and more difficult to set up, the traditional business mode is difficult to continue, and the migration from the manual business mode to the self-service mode becomes a necessary choice.
One of the two ways is a rough self-service terminal construction mode, and system administrators determine the types, purchase numbers and deployment positions of self-service terminals according to experience, wherein the mode has the defects of poor economy, low efficiency and difficulty in effectively evaluating service substitution and service improvement; and secondly, a refined self-service system construction mode is realized, factors such as service, manpower, terminals and experience are comprehensively considered, the types, the number and the deployment positions of the required terminals are accurately calculated through the model, the accurate construction of the self-service system is realized, the mode can realize higher economy, and the service replacement and the service promotion degree can be effectively evaluated. At present, most of colleges and universities are in extensive self-service terminal construction modes, and terminal equipment such as cash rechargeable machines and self-service card supplementing machines are purchased through experience judgment. The difficulty of refining the self-service system is how to establish self-service and how to realize effectiveness and universality, and related researches thereof have no mature scheme.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides a campus card system self-service method based on fine-grained service segmentation, which comprises the following steps:
STEP 1: for a given self-service set SAAccording to the special component dependenceAIf some services depend on the same special parts, the corresponding service combination is a similar service group, if the sum of the service occupation time (the service occupation time is the product of the service volume and the single service handling time) of all the services in the similar service group is larger than the target service time t of the self-service terminalgAnd if not, the similar service group is called as a dominant similar service group.
Then establishing an initial output result set R, wherein the elements of the output result set are (A, m), A is a terminal composite combination, and m is the number of corresponding terminals;
STEP 2: for any dominating similar service group
Figure BDA0001307364180000021
The following treatments were carried out:
a: will be provided with
Figure BDA0001307364180000022
The service combination of (A) is set as an output result setp,mp) A component A of (a);
b: get
Figure BDA0001307364180000023
Sum of service occupation time of all services
Figure BDA0001307364180000024
For service siThe service occupation time is its traffic kiTime of transaction with its single transaction
Figure BDA0001307364180000025
The product of (a); then taking out
Figure BDA0001307364180000026
And m ispSet as output result set (A)p,mp) The m component of (a);
c: if it is
Figure BDA0001307364180000027
Then the next dominant similar service group is processed; if it is
Figure BDA0001307364180000028
Then will be
Figure BDA0001307364180000029
Adding a non-dominant similar service group and setting the service occupation time as
Figure BDA00013073641800000210
STEP 3: for all non-dominant similar service groups
Figure BDA00013073641800000211
Forming a SET SET and processing the SET SET;
STEP 4: all output result set elements (a, m) are output.
Preferably, in STEP 3, the method for processing the SET includes:
a: the subset SET satisfying the following conditions is obtained by traversings: (1) the sum of the service occupation time of all the non-dominant similar service groups in the subset is as close as possible to the target service time t of the terminalgInteger multiple of (the judgment condition is that the service time after adding any other non-dominant similar service group exceeds t)g) (ii) a (2) The cost of the service composite terminal in the current subset is the minimum in all the subsets;
b: will SETsThe combination of all services contained in (A) is set as an output result setq,mq) Then taking the component A of
Figure BDA00013073641800000212
And m isqSet as output result set (A)q,mq) The m component of (a);
c: in the SET SET deletes the subset SET obtained in step AsAs a new SET of non-dominant similar service groups SET' and repeat step a until the SET becomes an empty SET.
Preferably, in STEP 2, in order to ensure the optimal combination of service composition under the requirement of manual substitution, the following method is adopted to obtain the traffic:
for any self-service business siThe traffic acquisition mode is as follows:
Figure BDA00013073641800000213
wherein k isiFor self-service business siD is the number of integrated (manual) terminals to be provisioned, tgTaking the target service time of the integrated terminal; slFor non-self-service, klIs the traffic volume of a non-self-service business,
Figure BDA0001307364180000031
is a single pen slThe transaction time of the service, S, is the total service set, so
Figure BDA0001307364180000032
Occupying time for all non-self-service services;
Figure BDA0001307364180000033
the average transaction time of each service is counted for the comprehensive (manual) terminal,
Figure BDA0001307364180000034
the traffic in all self-service services is sub-proportional for self-service i.
According to the technical scheme, the invention has the following advantages:
based on the correlation among the traffic, the number of terminals and the service experience, a minimum-cost self-service equipment composite algorithm and a minimum-cost self-service equipment composite algorithm considering the artificial substitution degree are further provided. The algorithm can effectively guarantee the service experience of the user and minimize the overall cost of the self-service system construction. The method comprises the steps of achieving fine-grained business segmentation through the construction of a minimum independent business set, constructing a self-service model, establishing data association among business volume, terminal cost and service experience, and optimizing the economic cost of self-service system construction under the condition that a service experience target and a manual substitution degree target are achieved.
Detailed Description
The invention provides a campus card system self-service method based on fine-grained service segmentation, which firstly gives the following technical characteristic definitions:
technical feature definition 1: service set S and self-service set SA. The existing campus card service segmentation is analyzed into a minimum independent service set S ═ S1,s2,s3,…,sn}，siCan be used for campus card minimum inseparable business such as cash, card supplementing, card changing, password changing, account transferring, subsidy, loss reporting, delay and the like, and any business siAnd sjThere is traffic independence between them. Self-service set SAIs a subset of the service set S, containing all self-service services, SA∈S。
Technical feature definition 2: and a service terminal T. Terminals are divided into 4 types according to the type of the service carried: a special terminal: terminals for carrying out a single service, e.g. cash registers, self-service card replenishment machines, marked as TS(ii) a And (3) compounding the terminal: terminals capable of carrying out certain services, e.g. transfer, cash, card-supplementing integrated machine, etc., and marked as TM(ii) a And (3) comprehensive terminal: terminals capable of developing all services, especially services which need to be handled manually such as handling abnormal services, etc., the integrated terminal corresponds to the manual service terminal and is marked as TA。
Technical feature definition 3: traffic volume C. The experience traffic of campus card service in one year can be obtained by performing a moving weighted average on the traffic of the last D years, that is:
C＝w1C1+w2C2+…+wDCD(1)
Ci＝{k1,k2,k3,…,kn} (2)
wherein, w1Is an annual traffic weight, kiThe number of times of annual transaction of the service i. Some colleges and universities have built online systems or APPs (which can be called as online terminals) capable of developing some services (such as transfer, loss report and the like), but due to the reasons of networks, habits, propaganda and the like, the difference of the service occupation ratios of the online services is large, the online terminals are not considered in the model processing, and the online services are removed only in the service volume C accounting.
Technical feature definition 4: terminal target service time tg. And under the condition of meeting the queuing tolerance and the fatigue tolerance of the terminal, the terminal accumulates the service time all the year around. t is tgThe description is as follows:
tg＝tall-tidle(3)
tallfor the annual terminal start-up time, tidleIs the device idle time. The target service time of the self-service terminal is appointed to be T0And the target service time of the integrated terminal is T1And T is1Less than or equal to T0. The terminal target service time is a main evaluation index of user service experience.
With the goal of optimizing a self-service system, the construction of a self-service model can be converted into solving the following problems:
the cost established by the target self-service system is minimum.
Constraint 1: service time T of self-service terminal is less than or equal to T0Service time T of integrated terminal is less than or equal to T1；
Constraint 2: the sum C of the service volumes of all the terminals is more than or equal to C;
constraint 3: the requirement of the self-service terminal on the substitution degree of the comprehensive terminal (manual terminal) is met.
For the ith special terminal
Figure BDA0001307364180000041
To satisfy constraint 1, we should:
Figure BDA0001307364180000042
wherein the content of the first and second substances,
Figure BDA0001307364180000043
is a single table
Figure BDA0001307364180000044
The number of times of handling the traffic is low,
Figure BDA0001307364180000045
for the average transaction time of the special service i,
Figure BDA0001307364180000046
may be obtained statistically.
For j-th composite terminal
Figure BDA0001307364180000047
To satisfy constraint 1, we should:
Figure BDA0001307364180000048
wherein the content of the first and second substances,
Figure BDA0001307364180000049
is a single composite terminal
Figure BDA00013073641800000410
Handling the traffic, n is the number of the special terminals,
Figure BDA00013073641800000411
the traffic volume of the special service i in all services is less than the total,
Figure BDA00013073641800000412
the traffic volume of composite service j in all services is less than,
Figure BDA00013073641800000413
and
Figure BDA00013073641800000414
may be obtained statistically.
For integrated terminal TATo satisfy constraint 1, we should:
Figure BDA00013073641800000415
wherein r isAFor a single integrated terminal TAThe number of times of handling the traffic is low,
Figure BDA0001307364180000051
for the average manual handling time of each special service i,
Figure BDA0001307364180000052
may be obtained statistically.
For any service siTo satisfy constraint 2, we should:
Figure BDA0001307364180000053
wherein the content of the first and second substances,
Figure BDA0001307364180000054
for special purpose terminals
Figure BDA0001307364180000055
H is the number of the kind of the composite terminal,
Figure BDA0001307364180000056
composite terminal
Figure BDA0001307364180000057
Number of (a), (b), and (c)AFor comprehensive terminal TAThe number of the cells. If constraint 3 needs to be satisfied, then only l needs to be satisfiedAIt is sufficient to set the value to a constant value.
Assume a dedicated terminal
Figure BDA0001307364180000058
Has a purchase cost of
Figure BDA0001307364180000059
Composite terminal
Figure BDA00013073641800000510
Has a purchase cost of
Figure BDA00013073641800000511
Integrated terminal TAHas a purchase cost of UAThen, to satisfy goal 1, should:
Figure BDA00013073641800000512
the problem can be converted to solve to minimize cost
Figure BDA00013073641800000513
Figure BDA00013073641800000514
And lA。
The goal of service composition based on the present invention is to minimize the cost of the entire self-service architecture. For a given self-service set SAIf the number of the services in the set is e, the special terminal can be selected
Figure BDA00013073641800000515
The number of the composite terminal is also e, the number of the optional composite terminals generated by combining any two or more services is huge, and how to totally evaluate the cost of service composition to obtain an optimal solution is the key of model calculation. In order to effectively evaluate the cost of service composition, the method introduces a concept of service time cost:
technical feature definition 5 service time cost
Figure BDA00013073641800000516
At a certain terminal TjFor handling a specific service siCost accounting of (c)tThe description is as follows:
Figure BDA00013073641800000517
Bjfor terminal TjThe cost of the purchase of the product is reduced,
Figure BDA00013073641800000518
is a single pen siThe time for the transaction of the service is,
Figure BDA00013073641800000519
can be obtained statistically, tbIs the terminal actual service time. I.e. ctEqual to the ratio of the single service transaction time multiplied by the price of the equipment.
In addition to considering cost factors, the design of service composition should consider management and use convenience, that is, services should be composited as much as possible without increasing the cost of the service terminal. Based on this, a similar service group concept is introduced:
technical feature definition 6: a similar service group. If some services depend on the same special component and the service compound terminal and any one of the service compound terminals have the same hardware cost, the combination of the services is called as a similar service group. If the service occupation time of each service in a similar service group (for service s)iThe service occupation time is its traffic kiTime of transaction with its single transaction
Figure BDA0001307364180000061
Product of) is greater than the terminal target service time tgAnd if not, the similar service group is called as a dominant similar service group.
In the invention, when the terminal actual service time tbEqual to its target service time tgAnd the service time cost of the composite terminal is greater than or equal to any special terminal compounded by the composite terminal.
The following was demonstrated: if any service sjAnd service siIf the special terminal is combined, the cost of the combined terminal is Bi+j≥BiAccording to formula (9) if tb＝tgAt this time, service siAnd sjAre all the dominant services of the user,
Figure BDA0001307364180000067
remains unchanged, then for siThe service time cost of the composite terminal is greater than or equal to the cost of the special terminal. In particular, for the similar service group, since the cost of the composite terminal is equal to the cost of any dedicated terminal, the service time cost of any service in the similar service composite terminal is equal to the service time of the corresponding dedicated terminal.
In the invention, when the terminal actual service time tbEqual to its target service time tgAnd the service time cost of the integrated terminal is greater than or equal to that of any composite terminal.
The following was demonstrated: according to definition 2, the integrated terminal has to include dedicated components relating to all services and additional expenditure of human salary costs, and therefore the cost B of the integrated terminalAMaximum among all terminals, then for any service siAccording to formula (9) if tb＝tg，
Figure BDA0001307364180000062
If the service time cost of the integrated terminal is not changed, the service time cost of the integrated terminal is the largest in all terminals, namely the service time cost of the integrated terminal is greater than or equal to any composite terminal.
In the invention, when the sum of the actual service time of two service special terminals is less than or equal to the target service time tgAnd meanwhile, the service time cost of the composite terminal is less than that of a terminal group consisting of two corresponding service special terminals.
The following was demonstrated: if any service sjAnd service siIf two services are combined, the cost of the terminal is combinedi+j≤Bi+BjAccording to formula (9), if
Figure BDA0001307364180000063
Figure BDA0001307364180000064
Remains unchanged, then for siThe method comprises the following steps:
Figure BDA0001307364180000065
then for sjThe method comprises the following steps:
Figure BDA0001307364180000066
therefore, the service time cost of the composite terminal is less than that of a terminal group consisting of two corresponding service special terminals.
The business terminal composite principle can be obtained according to the deduction as follows: (1) the services in the same occupation similar service group are required to be compounded at the same compound terminal, and the services in different occupation similar service groups can not be compounded; (2) all the services in the non-dominant service group can be compounded by the same compound terminal based on the service time cost principle.
The method of the invention comprises the following steps:
STEP 1: for a given self-service set SAAccording to the special component dependenceADividing the service into a plurality of dominant similar service groups and non-dominant similar service groups: if some services depend on the same special parts, the corresponding service combination is a similar service group, if the sum of the service occupation time (the service occupation time is the product of the service volume and the single service handling time) of all the services in the similar service group is larger than the target service time t of the self-service terminalgAnd if not, the similar service group is called as a dominant similar service group.
Then establishing an initial output result set R, wherein the elements of the output result set are (A, m), A is a terminal composite combination, and m is the number of corresponding terminals;
STEP 2: for any dominating similar service group
Figure BDA0001307364180000071
The following treatments were carried out:
a: will be provided with
Figure BDA0001307364180000072
The service combination of (A) is set as an output result setp,mp) A component A of (a);
b: get
Figure BDA0001307364180000073
Sum of service occupation time of all services
Figure BDA0001307364180000074
For service siThe service occupation time is its traffic kiTime of transaction with its single transaction
Figure BDA0001307364180000075
The product of (a); then taking out
Figure BDA0001307364180000076
And m ispSet as output result set (A)p,mp) The m component of (a);
c: if it is
Figure BDA0001307364180000077
Then the next dominant similar service group is processed; if it is
Figure BDA0001307364180000078
Then will be
Figure BDA0001307364180000079
Adding a non-dominant similar service group and setting the service occupation time as
Figure BDA00013073641800000710
STEP 3: for all non-dominant similar service groups
Figure BDA00013073641800000711
Forming a SET SET and processing the SET SET;
the method for processing the SET comprises the following steps:
a: the subset SET satisfying the following conditions is obtained by traversings: (1) the sum of the service occupation time of all the non-dominant similar service groups in the subset is as close as possible to the target service time t of the terminalgInteger multiple of (the judgment condition is that the service time after adding any other non-dominant similar service group exceeds t)g) (ii) a (2) The cost of the service composite terminal in the current subset is the minimum in all the subsets;
b: will SETsThe combination of all services contained in (A) is set as an output result setq,mq) Then taking the component A of
Figure BDA0001307364180000081
And m isqSet as output result set (A)q,mq) The m component of (a);
c: in the SET SET deletes the subset SET obtained in step AsAs a new SET of non-dominant similar service groups SET' and repeat step a until the SET becomes an empty SET.
STEP 4: all output result set elements (a, m) are output.
In STEP 2 of the present invention, in order to ensure the optimal combination of service composition under the requirement of manual substitution, the following method can be adopted to obtain the traffic:
for any self-service business siThe traffic acquisition mode is as follows:
Figure BDA0001307364180000082
wherein k isiFor self-service business siD is the number of integrated (manual) terminals to be provisioned, tgTaking the target service time of the integrated terminal; slFor non-self-service, klIs the traffic volume of a non-self-service business,
Figure BDA0001307364180000083
is a single pen slThe transaction time of the service, S, is the total service set, so
Figure BDA0001307364180000084
Occupying time for all non-self-service services;
Figure BDA0001307364180000085
the average transaction time of each service is counted for the comprehensive (manual) terminal,
Figure BDA0001307364180000086
the traffic in all self-service services is sub-proportional for self-service i.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (2)

1. A campus card system self-service method based on fine-grained service segmentation is characterized by comprising the following steps:
STEP 1: for a given self-service set SAAccording to the special component dependenceADividing the service into a plurality of dominant similar service groups and non-dominant similar service groups: if some services depend on the same special parts, the corresponding service combination is a similar service group, if the sum of the service occupation time of all the services in the similar service group is greater than the target service time t of the self-service terminalgIf not, the similar service group is called a non-dominant similar service group; the service occupation time is the product of the service volume and the single service handling time;
then establishing an initial output result set R, wherein the elements of the output result set are (A, m), A is a terminal composite combination, and m is the number of terminals in the terminal composite combination;
STEP 2: for any dominating similar service group
Figure FDA0002529905520000011
The following treatments were carried out:
a: will be provided with
Figure FDA0002529905520000012
The service combination of (A) is set as an output result setp,mp) A component A of (a);
b: get
Figure FDA0002529905520000013
Sum of service occupation time of all services
Figure FDA0002529905520000014
For service siThe service occupation time is its traffic kiTime of transaction with its single transaction
Figure FDA0002529905520000015
The product of (a); then taking out
Figure FDA0002529905520000016
And m ispSet as output result set (A)p,mp) The m component of (a);
c: if it is
Figure FDA0002529905520000017
Then the next dominant similar service group is processed; if it is
Figure FDA0002529905520000018
Then will be
Figure FDA0002529905520000019
Adding a non-dominant similar service group and setting the service occupation time as
Figure FDA00025299055200000110
STEP 3: for all non-dominant similar service groups
Figure FDA00025299055200000111
Forming a SET SET and processing the SET SET;
a: the subset SET satisfying the following conditions is obtained by traversings: (1) accumulation of service occupation time of all non-dominant similar service groups in the subset and service occupation time t approaching terminal targetgThe judgment condition is that the service time after adding any other non-dominant similar service group exceeds tg(ii) a (2) The cost of the service composite terminal in the current subset is the minimum in all the subsets;
b: will SETsThe combination of all services contained in (A) is set as an output result setq，mq) Then taking the component A of
Figure FDA00025299055200000112
And m isqSet as output result set (A)q，mq) The m component of (a);
c: in the SET SET deletes the subset SET obtained in step AsTaking the SET as a new non-dominant similar service group SET SET, and repeating the step A until the SET becomes an empty SET;
STEP 4: all output result set elements (a, m) are output.
2. The fine-grained traffic segmentation based campus card system self-service method according to claim 1, wherein,
in STEP 2, in order to ensure the optimal combination of service composition under the requirement of manual substitution, the following method can be used to obtain the traffic:
for any self-service business siThe traffic acquisition mode is as follows:
Figure FDA0002529905520000021
wherein k isiFor self-service business siD is the number of integrated terminals to be provisioned, slIn order to be a non-manual service,
Figure FDA0002529905520000022
for all non-self-service time usage,
Figure FDA0002529905520000023
the average transaction time of each service is counted for the integrated terminal,
Figure FDA0002529905520000024
the traffic in all self-service services is sub-proportional for self-service i.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101212389A (en) * 2006-12-30 2008-07-02 华为技术有限公司 Outburst convergence control method, device, and communication device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6047903B2 (en) * 2012-03-27 2016-12-21 富士通株式会社 Group work support method, group work support program, group work support server, and group work support system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101212389A (en) * 2006-12-30 2008-07-02 华为技术有限公司 Outburst convergence control method, device, and communication device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
移动通信前台业务自助服务系统的设计与实现;黎冬媛 等.;《计算机工程与设计》;20110630;第32卷(第6期);全文 *

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